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This paper analyses three aspects of the share market operated by the Lima Stock Exchange: (i) the short-term relationship between the pricing, direction and volume of order flows; (ii) the components of the spread and the equilibrium point of the limit order book per share, and (iii) the pricing, order direction and trading volume dynamic resulting from shocks in the same variables when lagged. The econometric results for intraday data from 2012 show that the short-run dynamic of the most and least liquid shares in the General Index of the Lima Stock Exchange is explained by the direction of order flow, whose price impact is temporary in both cases.

The thesis offers a study on the stock market volatility in the countries of Central Eastern Europe and South Eastern Europe. We provide a univariate GARCH modeling of the stock market indices PX, BUX, and WIG from the CEE region and CROBEX, BELEX-15, and MBI from the SEE region. Additionally, we present a bivariate GARCH models in order to examine the volatility transmissions and spillovers from the European equity market to the equity markets in CEE and SEE. Our results suggest higher persistence of volatility in the CEE countries than in SEE countries, significant leverage effect more evident in the CEE region than in the SEE region, and high synchronization in the volatility between the CEE equity markets and the European equity market. The multivariate GARCH results reveal certain statistically significant but small volatility spillovers from the European equity market to the equity market in Hungary, Poland, Serbia and Republic of Macedonia. The CEE equity markets record higher conditional correlation coefficient than the SEE countries towards the European equity market. In general, the CEE equity markets are a relatively homogenous group in terms of volatility, while the SEE equity markets are a diversified group in terms of volatility with low synchronization and correlation with the...

MCom (Research) , Faculty of Commerce, Law and Management, University of the Witwatersrand, 2007 / The purpose of this dissertation is to motivate, construct and test the suitability of the Fama and French (1993) three-factor model in pricing equities listed on the Johannesburg Stock Exchange. Before this can be achieved, however, the existence of the size and the value effects needs to be established, and their resistance to risk adjustment with traditional asset pricing models needs to be ascertained. Once, these two empirical facts are documented, the three-factor model is built and tested. Results of Fama and French (1992) can be replicated on the Johannesburg Stock Exchange in that a firm‟s size and its value-growth indicator have reliable power to forecast stock returns. However, the value effect and, in particular, the size effect, attenuate after market microstructure is controlled for. Both effects are found to be independent of one another and the book-to-market ratio is found to be the best value-growth indicator. The static CAPM and an APT variant cannot explain the size and the value effects. This result is robust to time-series and cross-sectional tests. The three factor model of Fama and French (1993), and its variant, are constructed. The models can capture a substantial amount of time-series variation in most assets. When applied to the size and book-to-market sorted portfolios, they are not rejected in the vast majority of asset pricing tests. In tests on ungrouped data, the three factor model can explain the value effect, but not the size effect. However, in cross-sectional tests that use the size and book-to-market sorted portfolios as well as industry portfolios, the pricing errors of the three factor model are not substantially different from the ones obtained from the static CAPM.

Hasta el momento no tienen un método o no es conocido por el personal y pueden controlar el stock, lo que los entrampa para adelantarse o estar prevenidos a los quiebres del stock. Por lo que nos planteamos el problema; ¿En qué situación se encuentra actualmente la gestión de stock en función al análisis de quiebres de stock de la Tienda SODIMAC - Huancayo? y tenemos como objetivo Analizar y diagnosticar la gestión de stock para evitar quiebres de stock de la Tienda SODIMAC de la ciudad de Huancayo, en el periodo 2017. La metodología utilizada fueron el método deductivo e inductivo, el tipo de investigación es básico, el nivel de investigación es descriptivo y el diseño fue el descriptivo comparativo. Respecto a la población son los constituidos por todos los productos de la tienda Sodimac, siendo la hipótesis, La tienda SODIMAC-Huancayo tiene un sistema mejorado en la gestión de stock para evitar los quiebres de stock– Huancayo 2017.